Eric is a sales guy. No technical background. Didn't do the HTML on his MySpace page. He's also built a fully automated business-in-a-box in financial services and is running Python scripts to pull live data from GoHighLevel. He calls it retard maxing. I call it the actual story of AI in 2026.

Every few centuries, something changes in how human civilization does work. Not the tools. Not the industry. The underlying logic of how capability compounds. We are living inside one of those moments right now.

Milla Jovovich is best known for saving humanity in post-apocalyptic fiction. Last week, she may have done something more useful.

Disney Research, Google DeepMind, and NVIDIA just open-sourced a GPU-accelerated physics simulation engine. It's not just a robotics tool. It's the next proof that math is eating every constraint hardware can't solve.

I didn't plan to be awake at 4am last night. But I never do. I downloaded Google AI Edge Gallery on my iPhone and the next time I looked up it was past 4 in the morning.

Jensen Huang said AI needs a system of record to know what's actually true. He was describing enterprise software. But the logical architecture he outlined points somewhere else entirely.

Anthropic cut off 135,000 OpenClaw instances, handed its biggest developer ecosystem to OpenAI, then announced $30B in revenue and a multi-gigawatt compute deal — all in the same week. The pattern has a name.

Google dropped Gemma 4 — four open-source models, Apache 2.0, running locally on consumer hardware, ranking #3 in the world. The open source agent community wired it into OpenClaw within hours. Here's why this changes everything.

Three days ago, Anthropic pulled the plug on OpenClaw. This morning, OpenClaw shipped native video and music generation. And Apple is about to show us what it looks like when you build the same orchestration layer on 1.5 billion devices.

TSMC just guided to $52–56 billion in capex for 2026. McKinsey puts the global data center race at $7 trillion. The infrastructure layer is the only play that matters.

There's a specific kind of madness that lives inside people who build things. It kicks in the moment something actually works.

AI isn't replacing people. It's replacing unstructured effort. Here's the framework that changes everything — and it starts with one stupid small problem.

A vibe coding app made a commercial that looks more like Apple than Apple does. Then Apple pulled it from the App Store. The internet noticed.

Five signals. One conclusion. The grid hit its limit at the very beginning of the demand curve — before 84% of humanity ever typed a prompt. The canary has been dead for a while.

$710 billion committed. Grid queues running 3-5 years. Virginia is full. The bottleneck isn't compute — it's power, and permitted energized land just became a new asset class.

Goldman Sachs, Morgan Stanley, and Jefferies have all stood up dedicated AI infrastructure investment banking practices in the last 90 days. When the banks build teams, the capital follows.

Three people. One room. Fifteen calls. Two meetings playing simultaneously in the same ear. This is what the front lines of the AI infrastructure build-out actually look like.

The minimum ticket to get a seat at the AI infrastructure table is now $1 billion. Wall Street is rebuilding itself to handle it.

I just wanted to see if I could build a wearable AI interface from scratch. Turns out I could. Meet the ARIA Node — and the moment my AI rewrote its own hardware interface.

Someone sent me a video this week and I haven't been able to stop thinking about it (or laughing). Watch it first. I'll wait: The premise: retardmaxxing . The act of not caring, not overthinking, and simply doing. The guy explains it with a bell curve. Far left: the actual idiot — blissfully happy, lives entirely in the moment. Far right: the overthinker — drowning in analysis, philosophizing himself into paralysis, technically brilliant, practically useless. At the peak: t

Oracle fired 30,000 people this morning with a 6 AM email. Not because Oracle is struggling. Because Oracle is winning — and winning now means converting human payroll into AI infrastructure as fast as the balance sheet allows. I want to zoom out from that headline. Oracle is not the story. Oracle is a symptom. The story is what's been building for two years, and what a lot of people are about to finally understand the hard way. I have been saying this since early 2024. The r

This morning, tens of thousands of people woke up, checked their phones, and found out they no longer had a job. Not from their manager. Not from HR. From an email sent by 'Oracle Leadership' at 6:00 a.m. The email was brief, formal, and identical across the US, India, Canada, and Mexico. Your role has been eliminated. Today is your final working day. Sign the DocuSign to receive severance. Your system access has already been revoked. Somewhere between 20,000 and 30,000 peopl

Today is April 1, 1976. In a garage in Los Altos, California, three people sign a document and start a company. Steve Jobs. Steve Wozniak. Ronald Wayne. The company is called Apple Computer. The first product is a circuit board hand-assembled by Woz on his workbench. No case. No keyboard included. No operating system manual. Just raw silicon and a vision that most people at the time would have called laughable.They incorporated on April Fools' Day — which, fifty years later,

I wrote about this last year. Not in an academic paper. Not in a think piece with seventeen citations. In a blog post about CrossFit for your brain, a client who cried, and the guy who watched two YouTube videos on crypto and now offers unsolicited wealth advice. The point was simple: AI is the first tool in history that lets you be wrong without shame. And that is an incredible gift — if you use it right. But there is a dark side to that same feature, and a new paper out of